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The Prevalence of Vagal Nerve Stimulator-induced Sleep Disordered Breathing in Children With Refractory Epilepsy: A Retrospective Cohort Study

2025· article· en· W4410276874 on OpenAlexaffabout
Rahul Verma, Haley Fishman, Puneet Jain, Louise McRae, K Flynn, Ivanna Yau, Cristina Go, Indra Narang, Jackie Chiang, Sumrit Bola, George M. Ibrahim, James T. Rutka, Reshma Amin

Bibliographic record

VenueAmerican Journal of Respiratory and Critical Care Medicine · 2025
Typearticle
Languageen
FieldNeuroscience
TopicVagus Nerve Stimulation Research
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineRetrospective cohort studyEpilepsyRefractory (planetary science)CohortCohort studyAnesthesiaBreathingPediatricsInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

Abstract Rationale: Vagal nerve stimulators (VNS) are effective in achieving seizure control in children with refractory epilepsy. Recently, VNS devices in children have been associated with sleep-disordered breathing (SDB) including obstructive sleep apnea (OSA) and central sleep apnea (CSA). However, the direct impact of VNS on sleep parameters by formal polysomnography (PSG) is not well studied. Our objective was to assess the prevalence of SDB in children with epilepsy using PSG before and after VNS implantation. Methods: A retrospective cohort study was conducted (May 2019 to September 2024) of children aged 0 to 18 years old with refractory epilepsy and VNS insertion at The Hospital for Sick Children, Toronto, Canada. All included children underwent level 1 baseline PSG evaluation within 1 year prior to VNS insertion. Once VNS was inserted, a repeat PSG was conducted within 6 months. Paired t-tests and Wilcoxon-matched-pairs tests compared respiratory variables from PSGs before and after VNS insertion. Results: A total of 27 children with a mean (SD) age of 8.8 (4.2) years were included. Prior to PSG insertion, 5 (19%) children had mild OSA, 1 (4%) had moderate OSA, 0 (0%) had severe OSA, 2 (7%) had CSA, and 1 (4%) had nocturnal hypoventilation. Following VNS insertion, 8 (30%) had mild OSA, 1 (4%) had moderate OSA, 2 (7%) had severe OSA, and none had CSA or nocturnal hypoventilation. Amongst PSG parameters, there was a significant increase in the mean (SD) obstructive apnea-hypopnea index (OAHI) from 1.6 (3.2)/hour to 6.3 (13.8)/hour (p=0.005) after VNS insertion. The OAHI in REM sleep also increased significantly from 5.7 (9.6)/h to 7.6 (13.3)/h (p=0.03). Eight of the 9 (89%) children who developed OSA after VNS had baseline symptoms of SDB even prior to VNS insertion. The remaining PSG values did not differ significantly before and after VNS implantation (Table 1). Conclusions: The severity of OSA may increase in children with epilepsy treated with VNS. Children with pre-existing symptoms of SDB are at highest risk of developing OSA after VNS insertion. All children being planned for VNS should be routinely screened for symptoms of SDB.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.747

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.344
Teacher spread0.325 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes2
Has abstractyes

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